tanganke
/

clip-vit-base-patch32_oxford-iiit-pet

Feature Extraction

clip_vision_model

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Training Details

Adam Optimizer with a constant learning rate 1e-5 for 4000 steps training (batch_size=128). Only the vision encoder is fine-tuned.

Evaluation Results

Test set accuracy:

pre-trained: 0.8331970572471619
fine-tuned: 0.9245026111602783

Downloads last month: 335

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Model size

87.5M params

Tensor type

F32

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Model tree for tanganke/clip-vit-base-patch32_oxford-iiit-pet

Base model

openai/clip-vit-base-patch32

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Dataset used to train tanganke/clip-vit-base-patch32_oxford-iiit-pet